Sign up to save tools and stay up to date with the latest in AI
bg
bg
1

Launch HN: WorkDone (YC X25) – AI Audit of Medical Charts

May 22, 2025 - news.ycombinator.com
WorkDone, founded by Dmitry, Sergey, and Alex, is an AI product designed to audit medical documentation in real time, aiming to catch and correct errors before they lead to treatment mistakes or denied insurance claims. The founders were motivated by personal experiences and the observation that minor documentation errors can escalate into significant financial, legal, and health issues. Their solution integrates AI agents into clinic or hospital EHR/EMR systems to monitor records continuously. When potential errors are detected, such as missing signatures or suspicious timestamps, the system prompts staff to review and correct them immediately, preventing future complications.

The AI operates by running a secure event listener on EHR APIs and applying AI agents trained on clinical protocols and historical data. This approach focuses on real-time intervention, unlike other tools that detect errors post-claim submission, leading to reactive problem-solving. While the AI flags potential errors for human review, minimizing health-critical risks, the team acknowledges the challenge of false positives potentially wasting staff time. Currently, WorkDone is in the pilot phase, operating in read-only mode to refine its system and seeking feedback from the healthcare community, particularly from rehabs, small clinics, and hospitals interested in testing the AI.

Key takeaways:

  • WorkDone is an AI product designed to audit medical documentation in real-time to prevent errors that could lead to treatment mistakes or denied insurance claims.
  • The solution integrates AI agents with EHR/EMR systems to monitor records and flag potential errors for immediate human review and correction.
  • The focus of WorkDone is on near-real-time intervention, distinguishing it from other AI tools that detect errors post-claim submission.
  • The team is seeking feedback from the community and early users, particularly from rehabs, small clinics, and hospitals, to refine their system.
View Full Article

Comments (0)

Be the first to comment!